Multi-scale modeling for more affordable engineering of composite materials and structures

Transcription

1 Multi-scale modeling for more affordable engineering of composite materials and structures Dr. Laurent ADAM R&D Director Dr. Roger ASSAKER CEO & Chief Material Strategist March 2017

2 Outline About e-xstream engineering Digimat for the multi-scale nonlinear analysis of materials & structures Solutions for : Design of short fiber reinforced plastic parts, Computation of composite allowables, Virtual testing of discontinuous fiber composites, ICME of additive manufacturing parts. 2

3 e-xstream, The material modeling company Software & Engineering 100% focused on material modeling. Founded in May 2003 A team of 53 including 21 PhD and 26 MS Eng. HQ in Europe (Belgium/Luxembourg) 250+ major customers An MSC Software Company since September years in Simulation/1000+ persons/20 countries Copyright e-xstream engineering, 2016

4 MSC corporate strategy Copyright e-xstream engineering,

5 From Material Microstructure to End Product Performance Speed-up the development of new material systems Virtual Characterization of material coupons Engineering of Composite Parts & Systems 5

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7 Nonlinear Micro Mechanics MF & FE E Mean Field Σ Finite Element ( x) H : E r Localization r r a) b) c c ) : ( r Averaging ε r Local phase behavior r cr : r σ r 7

8 Complete A Z solution for RVE analysis with Digimat-FE Results Fields Results Distributions Results Effective Properties Mesh Tetrahedral / Voxel Solution Iterative / Direct RVE Geometry / BCs Materials Microstructure external solvers 8

9 RVEs from Digimat-FE 9

10 Micro and Hybrid solution procedures Copyright e-xstream engineering,

11 Link to process Structural engineering : Influence of process (via microstructure, residual stresses, ) over structural performance. Draping of CFRP Injection of SFRP SFRP processing Fiber orientation, temperature, residual stresses, weldlines, porosity, fiber length and volume fraction. From Moldflow, Moldex3D, Sigmasoft, Simpoe, REM3D, Timon3D. CFRP processing Fiber orientation (UD & 2D woven) and porosity. From Simulayt, PAM- Form, Aniform, PAM- RTM. Metal casting Porosity From ProCast and Magmasoft. Measurements (CT scan) Fiber orientation and volume fraction. From VolumeGraphics 11

12 Connecting tools to provide solutions RP VA AM Virtual design of reinforced plastics parts Short & long fiber reinforced plastics Injection molded parts Continuum and shell meshes for process & structural simulations Embedded fiber orientation estimator Virtual allowables for CFRP UD & 2D wovens OHT, OHT, bearing, filled holed Modeling of variabilities Statistical postprocessing (A & B allowables) Process simulation of additive manufacturing Unreinforced and reinforced polymers FFF & SLS processes Warpage & residual stress computations Export to structural CAE 12

13 Digimat-RP Virtual design of SFRP parts 13

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15 Digimat-VA : Virtual Allowable computation UD & 2D wovens UNT/UNC OHT/OHC Filled holed Bearing 15

16 Curing Model allows to : Evolution of curing with temperature. Model viscous effect during plateau (thermo-viscoelastic material model). Stiffness increase due to material cure. Shrinkage due to material cure. Thermal effects due to high change of temperature. 16

17 Progressive failure of CFRP 3D slice of unidirectional carbon-epoxy composite Transverse shear loading Elastic with damage constituents behavior Fiber-matrix debonding using cohesive elements 17

18 Progressive failure of CFRP Failure criterion Damage leading to stiffness reduction Zoom over fiber-matrix debonding (deformation scale factor of 5) 18

19 Material RVE Typical RVE with 10% resin pockets in volume Same RVE after hiding the elements in the resin pockets Orientation tensor e.g. statistical description of the fiber orientation at this scale Interface modeling Progressive failure model for CFRP (UD) based on mean-field homogenization Deterministic orientation description at this scale 19

20 Calibration against the DCB test High sensitivity with respect to S n 20

21 Effective properties dispersion Various realizations respecting the same statistical description leads to dispersion of effective properties 21

22 Process simulation Digimat-AM Additive manufacturing processes : SLS FFF Materials : Filled & unfilled polymers Predictions : Warpage & residuals stresses. Micro/meso structure 22

23 Process simulation Digimat-AM 23

24 Material engineering 24

25 Structural engineering AM components 25

26 Holistic Material Modeling Strategy Materials Chopped & Continuous Fibers (Nano) Fillers Physics (Thermo)-Mechanical Thermal Electric Manufacturing Injection/Compression Draping Additive manufacturing Performance NVH/Stiffness Crash/Strength Durability/Fatigue Technology Linear/Nonlinear Mean Field/Finite Element Micro/Hybrid Copyright e-xstream engineering, 2016